Content has often been managed as documents. Metadata for search and retrieval has become more and more important as the amount of content has increased. In recent years with the increased interest in the use of Extensible Markup Language (XML) for content creation and the rising popularity of the Darwin Information Typing Architecture (DITA) XML standard, content has begun to move from unstructured documents to structured XML-based component-based content. And with the advent of XQuery, an XML query language that searches on the structure of content, then manipulates and renders content, we can do so much more than just full-text searching. We’ve gone from documents which are “black boxes” to intelligent content which is structurally rich and semantically aware, and is therefore automatically discoverable, reusable, reconfigurable and adaptable.
Let’s look at the definition for intelligent content in more detail:
This means that the content is structured content and more importantly it is semantically structured content, content where the structure has meaning. We could look at something as simple as a whitepaper which could include a structure like (executive summary, introduction, discussion and conclusion) or a marketing brochure that could include a structure like (positioning statement, value proposition, features and benefits). Or we could have content which follows a standard like DITA or DocBook. But each of these structures enable us to understand what content we have so that we could search within positioning statements only, or pull out that statement and use it in another type of content.
If we have a structure in our content we can manipulate it. For example we can automatically determine how to publish it to multiple channels (print, web, mobile) or we can filter out some content (e.g., tables may not work as well in the mobile environment). Also if it is structurally rich we can perform searches or narrow our search to the particular type of information we are interested in (e.g., look for all occurrences of the word like high definition in positioning statements).
When it is structurally rich we can do so much more.
The word semantic means “meaning”. Semantically aware content is content which has been tagged with metadata to identify the kind of content it is. For example, you might tag your content with industry sector, role or audience, and product information. If it is tagged with semantic metadata it is possible to automatically build customized information sets based on audience or industry for example. As more organizations start to create personalized content (content which is dynamically assembled on demand that specifically matches a users need, behavior or user profile) this type of metadata becomes really important.
In addition, as content is pushed to wikis, integrated through mashups or pipes it becomes even more important to ensure that our content is semantically tagged. Without semantic metadata it is very difficult to automatically, let alone manually, find the content we need.
If the content has semantic tags and is structurally rich it is a whole lot easier to find exactly what we are looking for. And when it is structurally rich, and assuming our content is in XML, we can use XQuery to question the structure of the content to find specific information. Then when we add semantic tagging to the content we have a great deal of information that will allow us to zero in on exactly the content we are looking for. You’ve heard of data mining? Well, now we can do content mining! Sure, we could have done this with regular old unstructured content, but we would have to develop (and maintain) highly complex algorithms to interpret the content; with intelligent content, discovering relevant content is much much easier.
Reusable content, content which is created once and used many times throughout an information set, has been used for years in technical documentation, but its popularity is quickly moving into business documents like marketing materials, proposals, contracts, and policies and procedures. We can create modular structured content that can either be easily retrieved for opportunistic reuse (manual reuse) or automatically retrieved for systematic reuse (automatic reuse).
Structured content is content separate from format, in other words the look-and-feel of the content is not embedded in the content. That makes it very powerful. Knowing the structure of the content, we can output it to multiple channels, reconfiguring it to best meet the needs of the channel, or we can automatically mix-and-match content to provide us with the information our customers need. We can even transform content (reconfigure it) from one structure to another (mobile online help, print publication, website knowledge center), but only if we know what the structure is in the first place.
We frequently create our content for a particular need or audience, but content can be adapted (used in a different way), often without our knowledge, to meet a new need. Think of mashups, we don’t know how our content is being aggregated, but it can be easily reused by both humans and computers because we have structured and tagged it intelligently.
A Few Scenarios
The following are a few scenarios that illustrate intelligent content.
Customization: Mobile Phones
A major cell phone manufacturer and distributor produces over 100 different phones. They range from simple handsets to highly capable models designed to support email, video, and conferencing applications. While each handset has a unique market position, there are numerous features that are common across handsets, for example, texting. The description of texting is the same no matter what model of phone we examine, but each handset may require different key sequences, images, key names, and so on. In addition to handset configurations, there are regional differences that determine the features a particular handset will support, as well as region-specific safety standards and language requirements. Some of the handsets are made available through specific carriers (mobile phone sales partners, for instance) requiring different contact information and branding. One component of information could have as many as 500 variations!
To reach their goal they make the content intelligent to facilitate automatic builds and content filtering by:
- Creating structured component-based content
- Creating semantic metadata to clearly identify what piece of content is appropriate in which situation
- Creating rules which identify how each product configuration is to be built
- Using variables for key sequences so that they can be automatically populated with the correct content at the time of publication
- Using a component content management system to publish the content on demand based on the configuration rules
By utilizing intelligent content, they reduced translation costs, and optimized processes. And, they are actually making more money because they can now provide highly-relevant, personalized content, which has led to an increase sales.
Personalization of Healthcare Insurance Program
People have been talking about personalized content for years, but often back off because creating personalized content is a lot of work with traditional content. Not so with intelligent content.
A Health Maintenance Organization (HMO) provides health insurance for 100’s of companies with thousands of policyholders. The HMO builds a self-serve site to enable employees to review coverage, submit claims and get customized health and wellness information.
Personalization is supported by intelligent content through:
- Development of personas to identify the key characteristics of customers
- Policyholder login profiles that match the customer profiles
- Structured component-based content
- Semantic metadata used to tag content based on personas
- Personalization rules to be applied based on profile and policyholder requests
Dynamic Delivery of Investment Information
A financial services company has been producing content for its investors for both the web and print. There are daily News and Notes to keep investors informed of key breaking news, weekly reports to summarize a an area of particular interest, monthly reports and annual reports. The reports have always been produced as PDF while the News and Notes are web-based. There is more than a decade worth of content squirreled-away on the web and in fileservers throughout the organization. This pattern of content delivery has been pretty effective until now. With the economic melt down, investors are clamoring for content daily—even hourly—and they want more than just the information the financial services company can provide.
To calm investors and to provide as broad a swath of high-quality content as possible for investors who have decided to stay in for the long haul, they decide to change their paradigm and offer personalized dynamic content delivered automatically to their investors. They already have much of their content in XML and what they don’t they decide to convert to XML. They also set up RSS and other feeds to ensure that content can be gathered from multiple sources, incorporated with their own information, and automatically delivered to investors.
They built a set of profiles of their investors and provide a simple way for investors to indicate the types of information they would like to receive. Some investors choose to see an historical perspective to see what has happened in previous periods of market instability, and all have asked for hourly updates. Investors can search based on specific criteria and assemble customized views of the information that meet their specific investment interests. New information coming into the investment services company is captured, converted to XML, searched and retrieved based on specific criteria, assembled and transformed, then delivered to investors.
Dynamic delivery is supported by intelligent content through:
- Customer personas
- Customer login
- Structured content
- Semantic metadata
- XQuery and full text search for retrieval
- Dynamic multichannel publishing
Who is Using Intelligent Content?
There are a number of industries that are making use of intelligent content. Companies whose product is content (publishing and media companies, for example) have begun to adopt intelligent content as a methodology for moving away from their traditional print products to a truly multi-channel, and often personalized content offering. Companies who produce huge volumes of content such as life sciences (pharmaceutical, medical device, and health and hospital organizations) and financial companies (insurance, investments, banking) use intelligent content to optimize access and retrieval. The high technology industry has been moving towards intelligent content for a number of years, but are not yet making a lot of use of metadata and personalization. Government is starting to use intelligent content to manage and deliver legislative content.
Benefits of Intelligent Content
There are many benefits of intelligent content. We can:
- More easily find it
- Deliver it
- Customize it
- Personalize it
- Automatically deliver it to multiple channels
- Simultaneously release content in multiple languages
- Reduce costs
- Speed up delivery time
- Optimize resources
- Do more with the same resources
- Increase customer satisfaction
Learning More About Intelligent Content
Creating intelligent content is an emerging practice—one that holds tremendous promise for streamlining business processes, improving service, reducing expenses, and empowering content consumers. If you’re interested in learning more about how to create, manage and deliver intelligent content, consider attending Intelligent Content 2009 in Palm Springs, CA. This intimate educational event—brought to you by The Content Wrangler and The Rockley Group, takes place January 29-30, 2009 at Le Parker Méridien Palm Springs. Early bird discount tickets are still available. Register today to reserve your seat!
About Ann Rockley
Ann Rockley is President of The Rockley Group, a consultancy that has an international reputation for developing customer-centric enterprise content management strategies and underlying information architecture. Rockley is a frequent contributor to trade and industry publications and a featured speaker at numerous conferences in North America and Europe.
She has been instrumental in establishing the field in online documentation, single sourcing (content reuse), unified content strategies, and content management best practices. Rockley is co-chair of the OASIS DITA Enterprise Business Documents Subcommittee. Rockley led Content Management Professionals to a prestigious eContent 100 award in 2005.
Rockley is a Fellow of the Society for Technical Communication and has a Master of Information Science from the University of Toronto. Rockley is the co-author of the best-selling book, Managing Enterprise Content: A Unified Content Strategy (New Riders Publishing ISBN 0-7357-1306-5).